Results 191 to 200 of about 129,978 (318)

Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling

, 2016
María López‐Abelairas, Luís P. de Oliveira, Jan Verstraete   +2 more
openalex   +2 more sources

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

The Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source

Pharmacodynamic evidence for tedizolid use in <i>Mycobacterium avium</i> lung disease. [PDF]

IJTLD Open
Deshpande D, Srivastava S, Gumbo T.
europepmc   +1 more source

Diffusion Coefficient and Viscosity of Methyl Viologen Electrolyte Estimation Based on a Kinetic Monte Carlo Computational Approach Coupled with the Mean Square Displacement Method

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
A novel and comprehensive 3D‐resolved kinetic Monte Carlo model coupled with mean square displacement analysis is introduced. This computational approach allows to explore, for the first time, the concentration and the state of charge effects on ionic diffusion coefficient and viscosity in methyl viologen‐based electrolytes used in organic redox flow ...
Jia Yu, Emmanuel Baudrin, Alejandro A. Franco   +2 more
wiley   +1 more source

Metformin in the Horse: Pharmacokinetics and Detection Times Using Monte Carlo Simulations. [PDF]

Drug Test Anal
Jacobs ME, Blea J, Hardy M, McKemie DS, Traynham M, Knych HK.   +5 more
europepmc   +1 more source

Modeling and optimization of methylene blue adsorption from aqueous media via natural clay: Response surface methodology, artificial neural network, and Monte Carlo molecular studies

Abdelali Aboussabek, Latifa Boukarma, Rachid Aziam, Abdellah Ousaa, Amina Soudani, Mohamed Zerbet, Soulaiman Iaich, Mohamed Chiban   +7 more
openalex   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

Artificial Neural Network for Optimizing Gamma Radiation Shielding. [PDF]

J Biomed Phys Eng
Mokhtari Dorostkar M, Rasouli FS.
europepmc   +1 more source

Evaluation of Reverse Monte Carlo Models based on Molecular Dynamics Simulations: A Case Study of Ion Conducting Network Glasses [PDF]

, 2009
Christian R. Mueller, Vindu Kathriarachchi, Michael Schuch, Philipp Maass, Valeri Petkov   +4 more
openalex   +1 more source

Cost‐utility analysis of nusinersen–risdiplam switch in patients with spinal muscular atrophy in Croatia: A discrete event simulation model

British Journal of Clinical Pharmacology, EarlyView.
Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić, Ivana Stević, Elvira Meni Maria Gkrinia, Dinko Vitezić, Slobodan Janković   +4 more
wiley   +1 more source